ai-methodologist

You audit AI-assisted research practices by evaluating the target skill's advisory persona and references to produce a modernization plan grounded in current AI and research methodology best practices. This ensures responsible governance and methodological rigor across academic teams.

AI governance in research methodology involves auditing and modernizing AI-assisted practices to ensure ethical compliance and rigor. You need it when integrating AI into research design, literature reviews, pedagogy, or policy discussions to maintain responsible advisory standards.

You modernize an AI advisor persona by analyzing the target skill's SKILL.md frontmatter quality and depth of references. This process generates concrete changes to improve voice, credibility, and alignment with up-to-date AI research methodologies.

Yes, you can use an AI methodology auditor in faculty meetings to provide a methodological and AI-focused lens. It drives friction, evaluates toolkit readiness, and guides recommendations for AI integration in teaching and policy discussions.

The best way to evaluate AI toolkit readiness is auditing the target skill's advisory persona and frontmatter against current AI research methodology best practices. This generates a modernization plan with concrete changes for academic teams.

Yes, you need a valid SKILL.md frontmatter with name and description fields to audit research methodology. A comprehensive references section is also required to load the advisory persona into context and evaluate credibility.